Check computer science papers: citations, claims and retractions

Optimizing CDN Modeling with API Integration Using Time To- Live (TTL) Caching Technique

Hendri, H., Hartati, R. S., Linawati, L., & Wiharta, D. M. (2024) · Jurnal Ekonomi Manajemen Sistem Informasi

Caching and Content DeliveryNetwork Traffic and Congestion Control

Cited by 0

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations

Lumer, E., Gulati, A., Subbiah, V. K., Basavaraju, P. H., & Burke, J. A. (2025) · arXiv

Speech and dialogue systemsAI-based Problem Solving and Planning

Cited by 0

"Theater of Mind" for LLMs: A Cognitive Architecture Based on Global Workspace Theory

Shang, W. (2026) · arXiv

Psychiatry, Mental Health, NeuroscienceCognitive Computing and Networks

Cited by 0

OS-Themis: A Scalable Critic Framework for Generalist GUI Rewards

Li, Z., Wu, Z., Zhao, Y., Yang, B., Xie, J., Liu, Z., Liu, Z., Jin, K., Liang, J., Li, Z., et al. (2026) · arXiv

Reinforcement Learning in RoboticsSoftware Testing and Debugging Techniques

Cited by 0

The Limits of Query Monitoring against Distributed Model Extraction

Khilar, S. C. (2026) · arXiv

Spam and Phishing DetectionAdversarial Robustness in Machine Learning

Cited by 0

The Scaffold Effect in Coding Agents: Harness Choice as a Hidden Variable in Coding-Agent Evaluation

Vats, N., & Golev, O. (2026) · arXiv

Software Engineering ResearchAI-based Problem Solving and Planning

Cited by 0

A Hybrid Pure Pursuit–PID and TD3 Control Framework for Differential-Drive Mobile Robots

Demircioglu, U., Bakir, H., Almarri, B., & Abdul Hafez, A. H. (2026) · IEEE Access

Reinforcement Learning in RoboticsControl and Dynamics of Mobile Robots

Cited by 0

Beyond the Capability Boundary: Zeroth-Order Optimization for Self-Evolving LLM Agents

Liu, B., Fan, X., Wu, Y., Gao, Z., Gao, M., Li, C., & Jia, Y. (2026) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

LLM-Driven Corrective Robot Operation Code Generation with Static Text-Based Simulation

Wang, W., Rong, Y., Li, Y., Jiao, L., & Yuan, J. (2025) · arXiv

AI-based Problem Solving and PlanningRobot Manipulation and Learning

Cited by 0

Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?

Fan, C., Li, M., Sun, L., & Zhou, T. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 0

Crypto/Space: A Response to Howson et al. 2024’s Veiled, Miss-informed, Attack on Bitcoin

Matthews, R. (2025) · SSRN Electronic Journal

Blockchain Technology Applications and SecuritySpace exploration and regulation

Cited by 0

How Do LLMs Use Their Depth?

Gupta, A., Yeung, J., Anumanchipalli, G., & Ivanova, A. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

MetaSkill-Evolve: Recursive Self-Improvement of LLM Agents via Two-Timescale Meta-Skill Evolution

Wang, Z., Yan, M., Bi, J., Yan, S., Tresp, V., & Ma, Y. (2026) · arXiv

AI-based Problem Solving and PlanningEvolutionary Algorithms and Applications

Cited by 0

Evaluating the Effectiveness of Educational Augmented Reality Authoring Tool: Insights From Instructors, Experts, and Students

Kim, J. W., Wang, K., Dorneich, M. C., Winer, E., Brown, L. J., & Whitehurst, G. (2026) · IEEE Transactions on Human-Machine Systems

Augmented Reality ApplicationsMultimedia Learning Systems

Cited by 0

HarnessRisk: A Lifecycle-Oriented Benchmark for Agent Harness Safety

Bai, Y., Duan, J., Peng, J., Wu, X., Liu, S., Wang, S., & Chen, T. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

DeepAssert: An LLM-Aided Verification Framework with Fine-Grained Assertion Generation for Modules with Extracted Module Specifications

Wang, Y., Zhou, J., Lyu, H., Chao, Z., Wang, T., & Li, H. (2025) · arXiv

Embedded Systems Design TechniquesSoftware Testing and Debugging Techniques

Cited by 0

GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodER

Sun, M., Wang, W., Qin, Z., Sun, J., Chen, S., & Liu, J. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 0

Inspect AI: Framework for Large Language Model Evaluations

UK AI Security Institute (2024) · Zenodo (CERN European Organization for Nuclear Research)

Topic ModelingNatural Language Processing Techniques

Cited by 0

ARC-NLP at ClimateActivism 2024: Stance and Hate Speech Detection by Generative and Encoder Models Optimized with Tweet-Specific Elements

Kaya, A., Ozcelik, O., & Toraman, C. (2024) · Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024)

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 0

Precision Neural Network Quantization via Learnable Adaptive Modules

Zhou, W., Yu, Z., Liu, X., Yang, J., Xiao, R., Wang, T., Tang, C., & Lv, J. (2025) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 0

MemoHarness: Agent Harnesses That Learn from Experience

Huang, Y., Wang, W., Bao, H., Ma, Y., Luo, X., Nian, Y., Zhuang, H., Liu, Z., Zhao, Y., & Zhang, X. (2026) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 0

MemoryGraft: Persistent Compromise of LLM Agents via Poisoned Experience Retrieval

Srivastava, S. S., & He, H. (2025) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

Loopy: Taming Audio-Driven Portrait Avatar with Long-Term Motion Dependency

Jiang, J., Liang, C., Yang, J., Lin, G., Zhong, T., & Zheng, Y. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisSpeech and Audio Processing

Cited by 0

When Reasoning Meets Compression: Understanding the Effects of LLMs Compression on Large Reasoning Models

Zhang, N., Kwek, E., Zhang, Y., Nguyen, N.-H., Mitra, P., & Zhang, R. (2025) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0